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Record W1495538716 · doi:10.1080/02699931.2015.1064363

A self-regulatory approach to understanding boredom proneness

2015· article· en· W1495538716 on OpenAlex

Why this work is in the frame

A frame that forgets how it found something cannot be audited. These are the routes that admitted this work.

affAt least one author lists a Canadian institution in the pinned OpenAlex snapshot.
fundA Canadian funder is recorded on the work.

Bibliographic record

VenueCognition & Emotion · 2015
Typearticle
Languageen
FieldNeuroscience
TopicMind wandering and attention
Canadian institutionsUniversity of Waterloo
FundersNatural Sciences and Engineering Research Council of Canada
KeywordsBoredomRegulatory focus theoryPsychologyTraitFlexibility (engineering)Self-controlSet (abstract data type)Social psychologyAction (physics)Cognitive psychology

Abstract

fetched live from OpenAlex

We investigated the relationship between self-regulation and two types of boredom proneness (perceived lack of internal stimulation, perceived lack of external stimulation) using a variety of measures of self-regulation. These included a general measure of self-control, measures of both regulatory focus (i.e., promotion or a sensitivity to gains/non-gains vs. prevention or a sensitivity to losses/non-losses) and regulatory mode (i.e., assessment or the tendency to compare means and goals vs. locomotion or the tendency to initiate and maintain commitment to action), and measures of cognitive flexibility (i.e., a perceived sense of control and the tendency to seek alternative solutions). Results identified a unique set of factors related to each boredom proneness component. Trait self-control and prevention focus were associated with lower boredom propensity due to a lack of external stimulation. Locomotion and the tendency to seek alternatives were associated with lower boredom propensity due to a lack of internal stimulation. These findings suggest that effective goal pursuit is associated with reduced likelihood of experiencing boredom.

Fetched live from OpenAlex and de-inverted. Abstracts are not stored in this database: the inverted indexes are 8.6 GB of the frame’s 9.3 GB of text, and the host has 13 GB free.

Full frame distilled prediction

Teacher imitation

Not calibrated prevalence, not ground truth. Human validation pending. Learned from the 10,348 direct Codex labels and 10,348 direct Gemma labels. Candidate is the union of thresholded teacher heads; consensus is their intersection. These outputs are machine_predicted_unvalidated and are not human labels or direct frontier model labels.

metaresearch head score (Codex)0.000
metaresearch head score (Gemma)0.000
Version: codex-gemma-dda1882f352aValidation status: machine_predicted_unvalidated
Candidate categoriesnone
Consensus categoriesnone
DomainCandidate signal: none · Consensus signal: none
Study designCandidate signal: Bench or experimental · Consensus signal: Bench or experimental
GenreCandidate signal: Empirical · Consensus signal: Empirical
Teacher disagreement score0.424
Threshold uncertainty score0.444

Codex and Gemma teacher scores by category

CategoryCodexGemma
Metaresearch0.0000.000
Meta-epidemiology (narrow)0.0000.000
Meta-epidemiology (broad)0.0000.000
Bibliometrics0.0000.000
Science and technology studies0.0000.000
Scholarly communication0.0000.000
Open science0.0000.000
Research integrity0.0000.000
Insufficient payload (model declined to judge)0.0000.000

Machine scores (provisional)

The two teacher heads of the student model, read on this work. A score orders the frame for review; it never asserts a category, and the validation status ships verbatim with every row.

Baseline scores from an immature model (maturity gate not passed, 7 training rounds). Scores rank; they never assert a category.

Opus teacher head0.180
GPT teacher head0.281
Teacher spread0.102 · how far apart the two teachers sit on this one work
Validation statusscore_only:v0-immature-baseline · verbatim from the scoring run: score_only means the number may rank works, and no category label ships from it